WP_Term Object
(
    [term_id] => 36
    [name] => eFPGA
    [slug] => efpga
    [term_group] => 0
    [term_taxonomy_id] => 36
    [taxonomy] => category
    [description] => 
    [parent] => 0
    [count] => 71
    [filter] => raw
    [cat_ID] => 36
    [category_count] => 71
    [category_description] => 
    [cat_name] => eFPGA
    [category_nicename] => efpga
    [category_parent] => 0
    [is_post] => 
)
eFPGA
Posted on

Characteristics of an Efficient Inference Processor

Characteristics of an Efficient Inference Processor
by Tom Dillinger on 12-11-2019 at 10:00 am
Categories: eFPGA, Flex Logix

The market opportunities for machine learning hardware are becoming more succinct, with the following (rather broad) categories emerging:

  1. Model training:  models are evaluated at the “hyperscale” data center;  utilizing either general purpose processors or specialized hardware, with typical numeric precision of 32-bit
… Read More
Posted on

New Generation of FPGA Based Distributed Accelerator Cards Offer High Performance and Adaptability

New Generation of FPGA Based Distributed Accelerator Cards Offer High Performance and Adaptability
by Tom Simon on 12-05-2019 at 10:00 am
Categories: Achronix, AI, eFPGA, FPGA, IP

We have learned from nature that two characteristics are helpful for success, diversity and adaptability. The same has been shown to be true for computing systems. Things have come a long way from when CPU centric computing was the only choice. Much heavy lifting these days is done by GPUs, ASICs, and FPGAs, with CPUs in a support … Read More

Posted on

Achronix Announces New Accelerator Card at Linley Fall Processor Conference – VectorPath

Achronix Announces New Accelerator Card at Linley Fall Processor Conference – VectorPath
by Randy Smith on 11-04-2019 at 10:00 am
Categories: Achronix, eFPGA, Events, FPGA

This blog is my second blog from this year’s Linley Fall Processor Conference. The first two blogs focused on edge inference solutions. Achronix’s discussion was much broader than just AI/ML; it was about where FPGA’s have been going and culminated with a product announcement preview. I’ll get to the announcement in a moment, … Read More

Posted on

BittWare PCIe server card employs high throughput AI/ML optimized 7nm FPGA

BittWare PCIe server card employs high throughput AI/ML optimized 7nm FPGA
by Tom Simon on 10-31-2019 at 6:00 am
Categories: Achronix, AI, eFPGA

Back in May I wrote an article on the new Speedster7t from Achronix. This chip brings together Network on Chip (NoC) interconnect, high speed Ethernet and memory connections, and processing elements optimized for AI/ML. Speedster7t is a very exciting new FPGA that can be used effectively to accelerate a wide range of processing… Read More

Posted on

Efficiency – Flex Logix’s Update on InferX™ X1 Edge Inference Co-Processor

Efficiency – Flex Logix’s Update on InferX™ X1 Edge Inference Co-Processor
by Randy Smith on 10-30-2019 at 10:00 am
Categories: eFPGA, Events, Flex Logix, IP

Last week I attended the Linley Fall Processor Conference held in Santa Clara, CA. This blog is the first of three blogs I will be writing based on things I saw and heard at the event.

In April, Flex Logix announced its InferX X1 edge inference co-processor. At that time, Flex Logix announced that the IP would be available and that a chip,… Read More

Posted on

Free webinar – Accelerating data processing with FPGA fabrics and NoCs

Free webinar – Accelerating data processing with FPGA fabrics and NoCs
by Tom Simon on 10-14-2019 at 10:00 am
Categories: Achronix, eFPGA, IP

FPGAs have always been a great way to add performance to a system. They are capable of parallel processing and have the added bonus of reprogramability. Achronix has helped boost their utility by offering on-chip embedded FPGA fabric for integration into SoCs. This has had the effect of boosting data rates through these systems… Read More

Posted on

Acceleration in a Heterogenous Compute Environment

Acceleration in a Heterogenous Compute Environment
by Bernard Murphy on 10-02-2019 at 5:00 am
Categories: eFPGA, FPGA
3 Comments

Heterogenous compute isn’t a new concept. We’ve had it in phones and datacenters for quite a while – CPUs complemented by GPUs, DSPs and perhaps other specialized processors. But each of these compute engines has a very specific role, each driven by its own software (or training in the case of AI accelerators). You write software… Read More

Posted on

AI Inference at the Edge – Architecture and Design

AI Inference at the Edge – Architecture and Design
by Tom Dillinger on 09-23-2019 at 10:00 am
Categories: eFPGA, Flex Logix, IP

In the old days, product architects would throw a functional block diagram “over the wall” to the design team, who would plan the physical implementation, analyze the timing of estimated critical paths, and forecast the signal switching activity on representative benchmarks.  A common reply back to the architects was, “We’… Read More

Posted on

Learn About Implementing SmartNICs, an Achronix White Paper

Learn About Implementing SmartNICs, an Achronix White Paper
by Randy Smith on 09-17-2019 at 10:00 am
Categories: Achronix, eFPGA

We have all seen the announcements to provide ever-increasing network capabilities within the data centers.  Enabling these advances are improvements in connectivity including SerDes, PAM4, optical solutions, and many others. It seems 40G is old news now, and the current push is for 400G – things are changing very quickly.… Read More

Posted on

Webinar: Using Embedded FPGA to Improve Machine Learning SOCs

Webinar: Using Embedded FPGA to Improve Machine Learning SOCs
by Tom Simon on 08-22-2019 at 6:00 am
Categories: Achronix, AI, eFPGA, Events

By its very definition, machine learning (ML) hardware requires flexibility. In turn, each ML application has its own fine grain requirements. Specific hardware implementations that include specialized processing elements are often desirable for machine learning chips. At the top of the priority list is parallel processing.… Read More